要使用BigQuery Python API中的copy_table方法复制表结构和数据，您可以按照以下步骤进行操作：

1. 导入必要的库和模块：

from google.cloud import bigquery

2. 创建BigQuery客户端：

client = bigquery.Client()

3. 指定源表和目标表的信息，包括项目ID、数据集ID和表名称：

source_project_id = "your-source-project-id"
source_dataset_id = "your-source-dataset-id"
source_table_id = "your-source-table-id"

destination_project_id = "your-destination-project-id"
destination_dataset_id = "your-destination-dataset-id"
destination_table_id = "your-destination-table-id"

4. 使用get_table方法获取源表的元数据：

source_table = client.get_table(
    f"{source_project_id}.{source_dataset_id}.{source_table_id}"
)

5. 使用create_table方法创建目标表，并使用源表的模式（schema）：

destination_table = bigquery.Table(f"{destination_project_id}.{destination_dataset_id}.{destination_table_id}")
destination_table.schema = source_table.schema

destination_table = client.create_table(destination_table)

6. 使用copy_table方法复制数据：

job_config = bigquery.CopyJobConfig()
job = client.copy_table(source_table, destination_table, job_config=job_config)
job.result()  # 等待复制任务完成

完整代码示例：

from google.cloud import bigquery

client = bigquery.Client()

source_project_id = "your-source-project-id"
source_dataset_id = "your-source-dataset-id"
source_table_id = "your-source-table-id"

destination_project_id = "your-destination-project-id"
destination_dataset_id = "your-destination-dataset-id"
destination_table_id = "your-destination-table-id"

source_table = client.get_table(
    f"{source_project_id}.{source_dataset_id}.{source_table_id}"
)

destination_table = bigquery.Table(f"{destination_project_id}.{destination_dataset_id}.{destination_table_id}")
destination_table.schema = source_table.schema

destination_table = client.create_table(destination_table)

job_config = bigquery.CopyJobConfig()
job = client.copy_table(source_table, destination_table, job_config=job_config)
job.result()

请确保将示例中的your-source-project-id、your-source-dataset-id、your-source-table-id、your-destination-project-id、your-destination-dataset-id和your-destination-table-id替换为实际的项目、数据集和表的ID。